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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis.

Paolo Castiglioni¹, Luca Faes², Gaetano Valenza³

¹IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy.

Entropy (Basel, Switzerland)

|December 8, 2020

Summary

This summary is machine-generated.

Physiological systems are increasingly recognized as complex adaptive systems. Understanding this complexity is key to advancing medicine and biology.

Keywords:

brain cardiovascular system entropy information flow multifractality multiscale

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Area of Science:

Physiology
Systems Biology
Complexity Science

Background:

The concept of physiological systems as complex adaptive systems (CAS) has gained traction.
Traditional reductionist approaches may not fully capture physiological dynamics.

Discussion:

Complex systems theory offers a framework for understanding emergent properties in physiology.
Interactions between components, rather than individual parts, drive system behavior.

Key Insights:

Physiological regulation involves intricate feedback loops and non-linear dynamics.
Homeostasis is an emergent property of these complex interactions.
Understanding system-level behavior is crucial for diagnosing and treating diseases.

Outlook:

Future research should integrate systems approaches to study health and disease.
Developing new analytical tools is essential for dissecting physiological complexity.
This paradigm shift promises novel therapeutic strategies for complex diseases.